Don’t rush to use the Wish buyer list, first screen out the recent customers who are more worthy of following up.

As Wish-related customer data accumulates for a long time, the most likely problem is not insufficient data, but new buyers, historical orders, after-sales customers, and long-term silent users all mixed together. If someone who made a purchase a few years ago and someone who just completed an order recently are placed at the same priority, it will be difficult for the salesperson to determine who to follow first.

What really needs to be solved in Wish buyer data screening is to first single out customers who still have recent business relationships based on existing orders, consultations, after-sales and re-inquiry records, and then deal with contact information and follow-up communication channels.

Wish buyers can’t just check whether there are any historical orders

ever purchasedFor Wish-related products, it shows that real transactions have occurred in the past, but it cannot directly indicate that there is still demand now. One customer placed an order three years ago and has not had any interaction since then; another customer completed the purchase last month and came to inquire about other products this week. Although both are historical buyers, the actual follow-up value is completely different.

soWish buyer screening should first look at the latest business action, rather than simply dividing it into those who have bought and those who have not. Records of recent orders, after-sales inquiries, re-inquiries, and re-submission of product requirements can help determine whether it is worth following up.

On the first level, first find out the recent order customers.

If the company saves normal business records in its own order system, it can first classify them according to the most recent order time. closeCustomers with orders in the past 30 days can be placed in the recent buyer group. Customers with orders in the past 3 months can be placed in the normal maintenance group. Earlier historical orders will continue to be judged according to the product repurchase cycle.

The time frame here is not a fixed standard. FMCG products have a short repurchase cycle.30 days may be relatively long; it is normal for durable goods, equipment or high-customer items not to be repurchased for half a year. The most important thing is to divide according to the actual product cycle, rather than all Wish buyers using the same set of time standards.

Check the second level to see if there is any after-sales service and re-consultation.

The order time is just an entry point, and after-sales records are also valuable. Customers have recently inquired about logistics, usage, returns, product specifications, etc., indicating that the business relationship still exists. However, the first task of after-sales customers should be to solve the original problem rather than immediately entering a new marketing process.

If the after-sales service has been completed and the customer proactively inquires about related products later, the priority can be raised again. If historical buyers have recently re-inquired about prices, inquired about new products, or entered the official website for consultation again, they can also be put back into the current sales pool from the silent customer group.

This dynamic adjustment is more practical than just sorting by first purchase time.

Don’t put all historical buyers at the top of the sales list

The longer the customer library is used, the more historyWish the more buyers you have. If all the people who have made transactions are kept in high priority for a long time, users with truly new needs can easily be overwhelmed.

Historical customers can be simply divided into three levels: recent buyers, normal maintenance, and long-term silence. Recent buyers and customers who are re-inquiring will be given priority. Normal maintenance users will be contacted according to the re-purchase cycle. Those who have not had orders, inquiries and replies for a long time will have lower priority.

This does not mean deleting historical customers, but rather leaving sales attention to people who are more worthy of following now.

Organizing contact information should be placed after customer value judgment

Wish buyer data screening does not recommend running through all the numbers at the beginning. A more trouble-free way is to first find out the people worth continuing to deal with in the near future through the company's own order and customer records, and then sort out the contact information of these customers.

For example, first establish a target list from recent orders, after-sales, re-inquiries and historical repurchase customers, then unify the international format of mobile phone numbers, clean up duplicate numbers, and then add them according to actual communication needs.Status on WhatsApp, Telegram and other platforms.

The amount of data detected in this way is more concentrated and closer to the actual sales needs.

Digital Planet can supplement follow-up communication channels

If your mobile phone number has been saved in Wish customer information through business scenarios such as normal transactions, after-sales, and official website consultation, you can use Digital Planet to deduplicate numbers, organize countries, and filter target social platforms after completing customer stratification.

For example:

USAWish recent orders + WhatsApp has been activated

France +Wish historical buyers re-inquiry + WhatsApp has been activated

Germany +Wish after-sales customers + Telegram related users

UK+Wish historical buyers + target communication channel to be confirmed

Digital Planet is responsible for sorting out existing numbers and communication platform status here, and is not responsible for determining whether a person has been recently through his mobile phone number.When shopping on Wish, you cannot infer specific purchase records based on the number alone. Wish's recent buyer status should come from the company's own order, after-sales and customer business data.

Buying once does not mean that you are a high-value buyer

Historical transactions are often regarded as a label of high quality, but buying once and having long-term value are not the same thing at all. Some customers have only purchased low-price products once and have not had any interactions since then; some customers, although they have not placed many orders, purchase large quantities each time and have continued to inquire recently.

When judging the buyer's value, you can continue to combine purchase frequency, recent orders, product type, after-sales situation and re-inquiry records. Compared with simply marking oneFor Wish buyers, it is more practical to know why this customer last contacted the business.

The follow-up content for new buyers and old buyers should also be separated.

When a new buyer has just completed an order, follow-up communication is more suitable to focus on logistics, usage, product experience and after-sales. When old buyers reappear in demand, they can continue to recommend related products based on past purchase records.

Historical customers who have not interacted for a long time are not suitable for suddenly sending a large amount of new product information. You can first judge whether there is still a relationship based on past purchase directions. If there are no new business actions, keep the frequency low.

Different methods are used at different stages, which is better than combining allIt is more natural for Wish customers to send a unified set of content.

It is best to keep the source and time fields for buyer data

After the Wish customer organization is completed, it is not recommended to only keep the name and mobile phone number. The source of the order, the time of the last purchase, the last consultation, the product category, and the current customer status are all worth keeping.

For example, a piece of customer information can be recorded as: US customer,Wish historical orders, re-inquiry for product A in the last 20 days, WhatsApp has been activated, and is currently in the quotation stage.

The other one is: French customers,Wish historical buyer has no new orders and no recent inquiries for a year and has entered general maintenance.

Although both of these areWish buyer, but the sales order is completely different.

Contact information is available and is not a substitute for a business relationship

The number format is normal,The fact that WhatsApp has been activated can only mean that there is some kind of communication channel in the future, but it cannot directly mean that customers still have purchase needs. What really determines the priority is orders, consultations, after-sales and replies.

Likewise, a historical number is temporarily unsuitable for passingWhatsApp communication does not mean that customers have no value. If the company originally communicates with customers normally through email or other channels, it can continue to use the original communication method.

Number screening is to assist customer management and should not in turn determine customer value.

The last thing to solve in Wish buyer screening is the sales order.

Really usefulOnce you open the Wish buyer list, you should be able to directly see who has recently purchased, who has re-enquired, who is in the after-sales stage, and who has not interacted for a long time. By sorting out the existing contact information and appropriate communication channels through Digital Planet, sales do not need to re-find the key points from a large number of historical buyers.

Wish buyer data screening is not to contact all historical order customers again, but to first find out those who still have recent orders, inquiries and business actions, and then put these customers in a higher position.

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